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ovarianTumour

active ARFF Publicly available Visibility: public Uploaded 07-10-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: Data from the RSCTC 2010 Discovery Challenge. All datasets contain between 100 and 400 samples, characterized by values of 20,000 - 65,000 attributes. Samples are assigned to several (2-10) classes. All attributes are numeric and represent measurements from DNA microarrays. Attributes are normalized in some way - in test data you should expect similar distributions of attribute values as in the example data. Source: http://tunedit.org/challenge/RSCTC-2010-A

54622 features

Decision (target)	nominal	3 unique values 0 missing
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Var1025	numeric	192 unique values 0 missing
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Var2561	numeric	252 unique values 0 missing
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Var3329	numeric	220 unique values 0 missing
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Var3841	numeric	233 unique values 0 missing
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Var5633	numeric	193 unique values 0 missing
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Var6145	numeric	202 unique values 0 missing
Var6401	numeric	238 unique values 0 missing
Var6657	numeric	249 unique values 0 missing
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Var45827	numeric	190 unique values 0 missing
Var46083	numeric	213 unique values 0 missing
Var46339	numeric	222 unique values 0 missing
Var46595	numeric	176 unique values 0 missing
Var46851	numeric	172 unique values 0 missing
Var47107	numeric	235 unique values 0 missing
Var47363	numeric	240 unique values 0 missing
Var47619	numeric	196 unique values 0 missing
Var47875	numeric	143 unique values 0 missing
Var48131	numeric	235 unique values 0 missing
Var48387	numeric	228 unique values 0 missing
Var48643	numeric	193 unique values 0 missing
Var48899	numeric	218 unique values 0 missing
Var49155	numeric	174 unique values 0 missing
Var49411	numeric	175 unique values 0 missing
Var49667	numeric	201 unique values 0 missing
Var49923	numeric	228 unique values 0 missing
Var50179	numeric	220 unique values 0 missing
Var50435	numeric	150 unique values 0 missing
Var50691	numeric	230 unique values 0 missing
Var50947	numeric	227 unique values 0 missing
Var51203	numeric	177 unique values 0 missing
Var51459	numeric	239 unique values 0 missing
Var51715	numeric	271 unique values 0 missing
Var51971	numeric	239 unique values 0 missing
Var52227	numeric	241 unique values 0 missing
Var52483	numeric	252 unique values 0 missing
Var52739	numeric	189 unique values 0 missing
Var52995	numeric	210 unique values 0 missing
Var53251	numeric	235 unique values 0 missing
Var53507	numeric	187 unique values 0 missing
Var53763	numeric	246 unique values 0 missing
Var54019	numeric	228 unique values 0 missing
Var54275	numeric	222 unique values 0 missing
Var54531	numeric	198 unique values 0 missing
Var4	numeric	261 unique values 0 missing
Var260	numeric	263 unique values 0 missing
Var516	numeric	222 unique values 0 missing
Var772	numeric	247 unique values 0 missing
Var1028	numeric	276 unique values 0 missing
Var1284	numeric	245 unique values 0 missing
Var1540	numeric	194 unique values 0 missing
Var1796	numeric	216 unique values 0 missing
Var2052	numeric	227 unique values 0 missing
Var2308	numeric	237 unique values 0 missing
Var2564	numeric	231 unique values 0 missing
Var2820	numeric	220 unique values 0 missing
Var3076	numeric	240 unique values 0 missing
Var3332	numeric	202 unique values 0 missing
Var3588	numeric	233 unique values 0 missing
Var3844	numeric	169 unique values 0 missing
Var4100	numeric	200 unique values 0 missing
Var4356	numeric	228 unique values 0 missing
Var4612	numeric	238 unique values 0 missing
Var4868	numeric	235 unique values 0 missing
Var5124	numeric	236 unique values 0 missing
Var5380	numeric	175 unique values 0 missing
Var5636	numeric	245 unique values 0 missing
Var5892	numeric	230 unique values 0 missing
Var6148	numeric	175 unique values 0 missing
Var6404	numeric	190 unique values 0 missing
Var6660	numeric	245 unique values 0 missing
Var6916	numeric	228 unique values 0 missing
Var7172	numeric	191 unique values 0 missing
Var7428	numeric	198 unique values 0 missing
Var7684	numeric	229 unique values 0 missing
Var7940	numeric	191 unique values 0 missing
Var8196	numeric	209 unique values 0 missing
Var8452	numeric	169 unique values 0 missing
Var8708	numeric	150 unique values 0 missing
Var8964	numeric	188 unique values 0 missing
Var9220	numeric	180 unique values 0 missing
Var9476	numeric	248 unique values 0 missing
Var9732	numeric	182 unique values 0 missing
Var9988	numeric	261 unique values 0 missing
Var10244	numeric	171 unique values 0 missing
Var10500	numeric	202 unique values 0 missing
Var10756	numeric	243 unique values 0 missing
Var11012	numeric	234 unique values 0 missing
Var11268	numeric	238 unique values 0 missing
Var11524	numeric	228 unique values 0 missing
Var11780	numeric	239 unique values 0 missing
Var12036	numeric	190 unique values 0 missing
Var12292	numeric	180 unique values 0 missing
Var12548	numeric	258 unique values 0 missing
Var12804	numeric	242 unique values 0 missing
Var13060	numeric	253 unique values 0 missing
Var13316	numeric	248 unique values 0 missing
Var13572	numeric	201 unique values 0 missing
Var13828	numeric	250 unique values 0 missing
Var14084	numeric	172 unique values 0 missing
Var14340	numeric	261 unique values 0 missing
Var14596	numeric	215 unique values 0 missing
Var14852	numeric	257 unique values 0 missing
Var15108	numeric	193 unique values 0 missing
Var15364	numeric	252 unique values 0 missing
Var15620	numeric	225 unique values 0 missing
Var15876	numeric	207 unique values 0 missing
Var16132	numeric	204 unique values 0 missing
Var16388	numeric	217 unique values 0 missing
Var16644	numeric	238 unique values 0 missing
Var16900	numeric	199 unique values 0 missing
Var17156	numeric	246 unique values 0 missing
Var17412	numeric	172 unique values 0 missing
Var17668	numeric	274 unique values 0 missing
Var17924	numeric	170 unique values 0 missing
Var18180	numeric	198 unique values 0 missing
Var18436	numeric	180 unique values 0 missing
Var18692	numeric	224 unique values 0 missing
Var18948	numeric	186 unique values 0 missing
Var19204	numeric	259 unique values 0 missing
Var19460	numeric	244 unique values 0 missing
Var19716	numeric	236 unique values 0 missing
Var19972	numeric	233 unique values 0 missing
Var20228	numeric	173 unique values 0 missing
Var20484	numeric	231 unique values 0 missing
Var20740	numeric	205 unique values 0 missing
Var20996	numeric	246 unique values 0 missing
Var21252	numeric	202 unique values 0 missing
Var21508	numeric	257 unique values 0 missing
Var21764	numeric	232 unique values 0 missing
Var22020	numeric	237 unique values 0 missing
Var22276	numeric	249 unique values 0 missing
Var22532	numeric	166 unique values 0 missing
Var22788	numeric	170 unique values 0 missing
Var23044	numeric	258 unique values 0 missing
Var23300	numeric	200 unique values 0 missing
Var23556	numeric	158 unique values 0 missing
Var23812	numeric	184 unique values 0 missing
Var24068	numeric	226 unique values 0 missing
Var24324	numeric	183 unique values 0 missing
Var24580	numeric	139 unique values 0 missing
Var24836	numeric	241 unique values 0 missing
Var25092	numeric	242 unique values 0 missing
Var25348	numeric	200 unique values 0 missing
Var25604	numeric	235 unique values 0 missing
Var25860	numeric	229 unique values 0 missing
Var26116	numeric	190 unique values 0 missing
Var26372	numeric	196 unique values 0 missing
Var26628	numeric	195 unique values 0 missing
Var26884	numeric	212 unique values 0 missing
Var27140	numeric	168 unique values 0 missing
Var27396	numeric	240 unique values 0 missing
Var27652	numeric	238 unique values 0 missing
Var27908	numeric	198 unique values 0 missing
Var28164	numeric	237 unique values 0 missing
Var28420	numeric	272 unique values 0 missing
Var28676	numeric	251 unique values 0 missing
Var28932	numeric	210 unique values 0 missing
Var29188	numeric	204 unique values 0 missing
Var29444	numeric	243 unique values 0 missing
Var29700	numeric	220 unique values 0 missing
Var29956	numeric	236 unique values 0 missing
Var30212	numeric	269 unique values 0 missing
Var30468	numeric	219 unique values 0 missing
Var30724	numeric	230 unique values 0 missing
Var30980	numeric	259 unique values 0 missing
Var31236	numeric	233 unique values 0 missing
Var31492	numeric	263 unique values 0 missing
Var31748	numeric	199 unique values 0 missing
Var32004	numeric	209 unique values 0 missing
Var32260	numeric	223 unique values 0 missing
Var32516	numeric	212 unique values 0 missing
Var32772	numeric	208 unique values 0 missing
Var33028	numeric	239 unique values 0 missing
Var33284	numeric	233 unique values 0 missing
Var33540	numeric	159 unique values 0 missing
Var33796	numeric	178 unique values 0 missing
Var34052	numeric	260 unique values 0 missing
Var34308	numeric	238 unique values 0 missing
Var34564	numeric	245 unique values 0 missing
Var34820	numeric	159 unique values 0 missing
Var35076	numeric	258 unique values 0 missing
Var35332	numeric	235 unique values 0 missing
Var35588	numeric	211 unique values 0 missing
Var35844	numeric	249 unique values 0 missing
Var36100	numeric	177 unique values 0 missing
Var36356	numeric	205 unique values 0 missing
Var36612	numeric	210 unique values 0 missing
Var36868	numeric	220 unique values 0 missing
Var37124	numeric	253 unique values 0 missing
Var37380	numeric	170 unique values 0 missing
Var37636	numeric	240 unique values 0 missing
Var37892	numeric	209 unique values 0 missing
Var38148	numeric	193 unique values 0 missing
Var38404	numeric	247 unique values 0 missing
Var38660	numeric	206 unique values 0 missing
Var38916	numeric	237 unique values 0 missing
Var39172	numeric	240 unique values 0 missing
Var39428	numeric	210 unique values 0 missing
Var39684	numeric	227 unique values 0 missing
Var39940	numeric	186 unique values 0 missing
Var40196	numeric	160 unique values 0 missing
Var40452	numeric	144 unique values 0 missing
Var40708	numeric	249 unique values 0 missing
Var40964	numeric	157 unique values 0 missing
Var41220	numeric	205 unique values 0 missing
Var41476	numeric	266 unique values 0 missing
Var41732	numeric	221 unique values 0 missing
Var41988	numeric	245 unique values 0 missing
Var42244	numeric	238 unique values 0 missing
Var42500	numeric	258 unique values 0 missing
Var42756	numeric	193 unique values 0 missing
Var43012	numeric	239 unique values 0 missing
Var43268	numeric	262 unique values 0 missing
Var43524	numeric	258 unique values 0 missing
Var43780	numeric	239 unique values 0 missing
Var44036	numeric	196 unique values 0 missing
Var44292	numeric	231 unique values 0 missing
Var44548	numeric	256 unique values 0 missing
Var44804	numeric	237 unique values 0 missing
Var45060	numeric	258 unique values 0 missing
Var45316	numeric	221 unique values 0 missing
Var45572	numeric	198 unique values 0 missing
Var45828	numeric	191 unique values 0 missing
Var46084	numeric	208 unique values 0 missing
Var46340	numeric	260 unique values 0 missing
Var46596	numeric	224 unique values 0 missing
Var46852	numeric	167 unique values 0 missing
Var47108	numeric	209 unique values 0 missing
Var47364	numeric	240 unique values 0 missing
Var47620	numeric	214 unique values 0 missing
Var47876	numeric	171 unique values 0 missing
Var48132	numeric	189 unique values 0 missing
Var48388	numeric	242 unique values 0 missing
Var48644	numeric	153 unique values 0 missing
Var48900	numeric	199 unique values 0 missing
Var49156	numeric	213 unique values 0 missing
Var49412	numeric	257 unique values 0 missing
Var49668	numeric	182 unique values 0 missing
Var49924	numeric	234 unique values 0 missing
Var50180	numeric	178 unique values 0 missing
Var50436	numeric	238 unique values 0 missing
Var50692	numeric	180 unique values 0 missing
Var50948	numeric	195 unique values 0 missing
Var51204	numeric	255 unique values 0 missing
Var51460	numeric	193 unique values 0 missing
Var51716	numeric	220 unique values 0 missing
Var51972	numeric	267 unique values 0 missing
Var52228	numeric	247 unique values 0 missing
Var52484	numeric	269 unique values 0 missing
Var52740	numeric	200 unique values 0 missing
Var52996	numeric	214 unique values 0 missing
Var53252	numeric	235 unique values 0 missing
Var53508	numeric	238 unique values 0 missing
Var53764	numeric	180 unique values 0 missing
Var54020	numeric	249 unique values 0 missing
Var54276	numeric	137 unique values 0 missing
Var54532	numeric	202 unique values 0 missing
Var5	numeric	156 unique values 0 missing
Var261	numeric	227 unique values 0 missing
Var517	numeric	179 unique values 0 missing
Var773	numeric	219 unique values 0 missing
Var1029	numeric	214 unique values 0 missing
Var1285	numeric	255 unique values 0 missing
Var1541	numeric	200 unique values 0 missing
Var1797	numeric	144 unique values 0 missing
Var2053	numeric	227 unique values 0 missing
Var2309	numeric	239 unique values 0 missing
Var2565	numeric	241 unique values 0 missing
Var2821	numeric	232 unique values 0 missing
Var3077	numeric	186 unique values 0 missing
Var3333	numeric	214 unique values 0 missing
Var3589	numeric	235 unique values 0 missing
Var3845	numeric	185 unique values 0 missing
Var4101	numeric	262 unique values 0 missing
Var4357	numeric	266 unique values 0 missing
Var4613	numeric	227 unique values 0 missing
Var4869	numeric	236 unique values 0 missing
Var5125	numeric	193 unique values 0 missing
Var5381	numeric	179 unique values 0 missing
Var5637	numeric	199 unique values 0 missing
Var5893	numeric	245 unique values 0 missing
Var6149	numeric	245 unique values 0 missing
Var6405	numeric	196 unique values 0 missing
Var6661	numeric	180 unique values 0 missing
Var6917	numeric	248 unique values 0 missing
Var7173	numeric	206 unique values 0 missing
Var7429	numeric	143 unique values 0 missing
Var7685	numeric	262 unique values 0 missing
Var7941	numeric	185 unique values 0 missing
Var8197	numeric	246 unique values 0 missing
Var8453	numeric	229 unique values 0 missing
Var8709	numeric	232 unique values 0 missing
Var8965	numeric	228 unique values 0 missing
Var9221	numeric	230 unique values 0 missing
Var9477	numeric	241 unique values 0 missing
Var9733	numeric	256 unique values 0 missing
Var9989	numeric	245 unique values 0 missing
Var10245	numeric	237 unique values 0 missing
Var10501	numeric	194 unique values 0 missing
Var10757	numeric	154 unique values 0 missing
Var11013	numeric	231 unique values 0 missing
Var11269	numeric	219 unique values 0 missing
Var11525	numeric	258 unique values 0 missing
Var11781	numeric	185 unique values 0 missing
Var12037	numeric	190 unique values 0 missing
Var12293	numeric	246 unique values 0 missing
Var12549	numeric	250 unique values 0 missing
Var12805	numeric	191 unique values 0 missing
Var13061	numeric	227 unique values 0 missing
Var13317	numeric	242 unique values 0 missing
Var13573	numeric	258 unique values 0 missing
Var13829	numeric	232 unique values 0 missing
Var14085	numeric	239 unique values 0 missing
Var14341	numeric	230 unique values 0 missing
Var14597	numeric	231 unique values 0 missing
Var14853	numeric	218 unique values 0 missing
Var15109	numeric	180 unique values 0 missing
Var15365	numeric	212 unique values 0 missing
Var15621	numeric	193 unique values 0 missing
Var15877	numeric	180 unique values 0 missing
Var16133	numeric	225 unique values 0 missing
Var16389	numeric	187 unique values 0 missing
Var16645	numeric	173 unique values 0 missing
Var16901	numeric	209 unique values 0 missing
Var17157	numeric	210 unique values 0 missing
Var17413	numeric	233 unique values 0 missing
Var17669	numeric	186 unique values 0 missing
Var17925	numeric	234 unique values 0 missing
Var18181	numeric	169 unique values 0 missing
Var18437	numeric	157 unique values 0 missing
Var18693	numeric	211 unique values 0 missing
Var18949	numeric	211 unique values 0 missing
Var19205	numeric	184 unique values 0 missing
Var19461	numeric	200 unique values 0 missing
Var19717	numeric	214 unique values 0 missing
Var19973	numeric	229 unique values 0 missing
Var20229	numeric	247 unique values 0 missing
Var20485	numeric	192 unique values 0 missing
Var20741	numeric	209 unique values 0 missing
Var20997	numeric	199 unique values 0 missing
Var21253	numeric	254 unique values 0 missing
Var21509	numeric	210 unique values 0 missing
Var21765	numeric	158 unique values 0 missing
Var22021	numeric	240 unique values 0 missing
Var22277	numeric	192 unique values 0 missing
Var22533	numeric	188 unique values 0 missing
Var22789	numeric	199 unique values 0 missing
Var23045	numeric	248 unique values 0 missing
Var23301	numeric	224 unique values 0 missing
Var23557	numeric	248 unique values 0 missing
Var23813	numeric	244 unique values 0 missing
Var24069	numeric	193 unique values 0 missing
Var24325	numeric	235 unique values 0 missing
Var24581	numeric	236 unique values 0 missing
Var24837	numeric	245 unique values 0 missing
Var25093	numeric	206 unique values 0 missing
Var25349	numeric	189 unique values 0 missing
Var25605	numeric	206 unique values 0 missing
Var25861	numeric	232 unique values 0 missing
Var26117	numeric	191 unique values 0 missing
Var26373	numeric	207 unique values 0 missing
Var26629	numeric	194 unique values 0 missing
Var26885	numeric	251 unique values 0 missing
Var27141	numeric	249 unique values 0 missing
Var27397	numeric	215 unique values 0 missing
Var27653	numeric	164 unique values 0 missing
Var27909	numeric	253 unique values 0 missing
Var28165	numeric	224 unique values 0 missing
Var28421	numeric	243 unique values 0 missing
Var28677	numeric	244 unique values 0 missing
Var28933	numeric	180 unique values 0 missing
Var29189	numeric	261 unique values 0 missing
Var29445	numeric	259 unique values 0 missing
Var29701	numeric	231 unique values 0 missing
Var29957	numeric	247 unique values 0 missing
Var30213	numeric	197 unique values 0 missing
Var30469	numeric	192 unique values 0 missing
Var30725	numeric	226 unique values 0 missing
Var30981	numeric	191 unique values 0 missing
Var31237	numeric	171 unique values 0 missing
Var31493	numeric	241 unique values 0 missing
Var31749	numeric	251 unique values 0 missing
Var32005	numeric	236 unique values 0 missing
Var32261	numeric	235 unique values 0 missing
Var32517	numeric	186 unique values 0 missing
Var32773	numeric	186 unique values 0 missing
Var33029	numeric	250 unique values 0 missing
Var33285	numeric	179 unique values 0 missing
Var33541	numeric	229 unique values 0 missing
Var33797	numeric	190 unique values 0 missing
Var34053	numeric	168 unique values 0 missing
Var34309	numeric	259 unique values 0 missing
Var34565	numeric	231 unique values 0 missing
Var34821	numeric	239 unique values 0 missing
Var35077	numeric	263 unique values 0 missing
Var35333	numeric	215 unique values 0 missing
Var35589	numeric	228 unique values 0 missing
Var35845	numeric	162 unique values 0 missing
Var36101	numeric	255 unique values 0 missing
Var36357	numeric	257 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

283

Number of instances (rows) of the dataset.

NumberOfFeatures

54622

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

54621

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

REPTreeDepth3Kappa

0.19

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpKappa

0.39

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxMeansOfNumericAtts

6.9

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

Quartile2SkewnessOfNumericAtts

0.44

Second quartile (Median) of skewness among attributes of the numeric type.

RandomTreeDepth1AUC

0.59

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Dimensionality

193.01

Number of attributes divided by the number of instances.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.19

Second quartile (Median) of standard deviation of attributes of the numeric type.

RandomTreeDepth1ErrRate

0.19

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

-3.4

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1Kappa

0.16

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

J48.00001.AUC

0.61

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxSkewnessOfNumericAtts

14.87

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.04

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

2.05

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.75

Average class difference between consecutive instances.

RandomTreeDepth2AUC

0.59

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.ErrRate

0.18

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxStdDevOfNumericAtts

1.45

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

6.36

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

100

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

3.31

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.61

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2ErrRate

0.19

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.Kappa

0.23

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

CfsSubsetEval_DecisionStumpErrRate

0.17

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2Kappa

0.16

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.0001.AUC

0.61

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanKurtosisOfNumericAtts

3.32

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.65

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

0.92

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.28

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3AUC

0.59

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.ErrRate

0.18

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMeansOfNumericAtts

2.65

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.1

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1KurtosisOfNumericAtts

0.19

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.28

Third quartile of standard deviation of attributes of the numeric type.

CfsSubsetEval_NaiveBayesAUC

0.61

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3ErrRate

0.19

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.Kappa

0.23

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

NaiveBayesKappa

0.42

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MeansOfNumericAtts

1.84

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.59

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesErrRate

0.17

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3Kappa

0.16

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.001.AUC

0.61

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

REPTreeDepth1ErrRate

0.14

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesKappa

0.28

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

CfsSubsetEval_kNN1NAUC

0.61

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

J48.001.ErrRate

0.18

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile1SkewnessOfNumericAtts

0.11

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.19

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_kNN1NErrRate

0.17

Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

kNN1NAUC

0.68

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

J48.001.Kappa

0.23

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

0.71

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.11

First quartile of standard deviation of attributes of the numeric type.

REPTreeDepth2AUC

0.59

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NKappa

0.28

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

kNN1NErrRate

0.13

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassPercentage

86.57

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.22

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.14

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

0.7

Entropy of the target attribute values.

kNN1NKappa

0.4

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassSize

245

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

0.72

Second quartile (Median) of kurtosis among attributes of the numeric type.

REPTreeDepth2Kappa

0.19

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2

REPTreeDepth3AUC

0.59

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpAUC

0.62

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.59

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

2.46

Second quartile (Median) of means among attributes of the numeric type.

REPTreeDepth3ErrRate

0.14

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpErrRate

0.11

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxKurtosisOfNumericAtts

239.8

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

1.23

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

Show all 107 properties

14 tasks

Supervised Classification on ovarianTumour

10 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision

Supervised Classification on ovarianTumour

1 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision

Supervised Data Stream Classification on ovarianTumour

0 runs - estimation_procedure: Interleaved Test then Train - target_feature: Decision

Clustering on ovarianTumour